This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Infodemiology and Infoveillance (1271) Big Data (217) Information Retrieval (271)

Published on in Vol 7, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22645, first published .
Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

Authors of this article:

Paola Kammrath Betancor1 Author Orcid Image ;   Linda Tizek2 Author Orcid Image ;   Alexander Zink2 Author Orcid Image ;   Thomas Reinhard1 Author Orcid Image ;   Daniel Böhringer1 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Journals

  1. Schober A, Tizek L, Johansson E, Ekebom A, Wallin J, Buters J, Schneider S, Zink A. Monitoring disease activity of pollen allergies: What crowdsourced data are telling us. World Allergy Organization Journal 2022;15(12):100718 View
  2. Ziehfreund S, Tizek L, Zink A. Websearch-Daten als Gesundheitsdaten?. Der Hautarzt 2022;73(1):53 View
  3. Zhang Q, Yu Y, He J, Yao X, He Y, Wu J, Xu C, Ye C. Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study. Frontiers in Public Health 2023;11 View

Books/Policy Documents

  1. Lapp T, Maier P. Die Augenheilkunde. View